Bruce Kornfeld

PACS/VNA
2010: The year of healthcare's perfect storage storm?
Hospitals may be slowing their IT spending as a reaction to the current economy, but the critical information doctors and their patients rely on for diagnosis and treatment continues to grow unabated. For the budget-challenged healthcare IT manager, the need to do more with less has become a sudden and harsh reality. Storage solution expert Bruce Kornfield tells of the impending "perfect storage storm."
October 15, 2009
2009 10 15 11 56 33 675 Bruce Kornfeld 200
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Siemens Healthineers' Accela radiotherapy system
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CIPHER, an AI-powered CT foundation model, identifies patients with lung cancer at increased risk of immunotherapy-induced pneumonitis before treatment begins. The AI-generated output, shown here, highlights lung abnormalities to support early risk assessment and personalized patient care.
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CT-based AI model predicts pneumonitis in lung cancer patients
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ASTRO: Siemens unveils Accela radiotherapy system
By AuntMinnie.com staff writers
NeoArc allows stereotactic treatment to be delivered within a single breath hold.
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ASTRO: How does tumor location affect survival in patients with esophageal cancer?
By Will Morton
Upper esophageal tumors were associated with the best survival, while middle esophageal location carried significantly worse odds.
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CT-based AI model predicts pneumonitis in lung cancer patients
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The algorithm outperformed clinical and radiomics models in these patients.
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CIPHER, an AI-powered CT foundation model, identifies patients with lung cancer at increased risk of immunotherapy-induced pneumonitis before treatment begins. The AI-generated output, shown here, highlights lung abnormalities to support early risk assessment and personalized patient care.
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What are the effects of COVID-19 pneumonia after 5 years?
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Representative longitudinal chest CT images and five-year parametric response mapping (PRM), pulmonary vascular CT reconstructions, and hyperpolarized xenon-129 (Xe-129) ventilation MRI scans from survivors of nonsevere and severe COVID-19 pneumonia. (A–F) Images in a 68-year-old male survivor of nonsevere COVID-19 pneumonia, (G–L) 62-year-old male survivor of severe COVID-19 pneumonia, and (M–R) 55-year-old male survivor of severe COVID-19 pneumonia. For each participant, the first three columns show coronal chest CT images from the acute phase (A, G, M), two-year follow-up (B, H, N), and five-year follow-up (C, I, O) (left to right). The fourth column (D, J, P) shows a coronal PRM image for each participant at five-year follow-up derived from paired inspiratory and expiratory CT scans, showing the spatial distribution of lung functional categories. Green indicates normal lung tissue, yellow indicates functional small airway disease, and red indicates emphysema. The second-to-last column shows volume-rendered small pulmonary vessel visualization (red) at five-year follow-up per participant (E, K, Q). The column on the far right (F, L, R) shows a hyperpolarized Xe-129 MRI ventilation defect percentage (VDP) map at five-year follow-up per participant. Dark blue represents high Xe-129 signal intensity, corresponding to well-ventilated lung regions, whereas red represents no Xe-129 signal intensity, corresponding to ventilation defects. At five-year follow-up, the 68-year-old survivor of nonsevere COVID-19 pneumonia (top row) showed near-complete radiologic resolution, no respiratory symptoms, and preserved pulmonary function. In contrast, the 62-year-old survivor of severe COVID-19 pneumonia (middle row) showed persistent fibrotic linear opacities without respiratory symptoms and mildly reduced pulmonary function. The 55-year-old survivor of severe COVID-19 pneumonia (bottom row) showed persistent scattered fibrotic linear opacities and focal emphysematous changes in both lungs, with dyspnea and impaired gas exchange function. The VDP values obtained from F, L, and R were 7.7%, 7.1%, and 6.3%, respectively.
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